Results 41 to 50 of about 6,631 (202)
ERA5 near‐surface temperature over South America exhibits systematic cold biases in daily maximum temperature and warm biases in daily minimum temperature. To address the continent's strong climatic and topographic heterogeneity, South America was partitioned into five topoclimatic clusters, and four bias‐correction approaches were evaluated. The Multi‐
José Roberto Rozante, Gabriela Rozante
wiley +1 more source
Spatial Interpolation of Geotechnical Properties Using EBK, IDW, and Kriging: A Case Study in Astana, Kazakhstan [PDF]
This paper investigates the performance of interpolation methods for defining intermediate geotechnical soil properties, such as Empirical Bayesian Kriging (EBK), Inverse Distance Weighting (IDW), and ordinary Kriging.
Mukhamejanova Assel +4 more
doaj +1 more source
Climatic Drivers of the Area Burned by Winter Wildfires in Northern Italy
This study investigates winter wildfires occurring between November and April in northern Italy over the period 2008–2022. By integrating high‐resolution burned‐area data with gridded climatic indices derived from 150 weather stations, it identifies spatial and temporal wildfire patterns, highlights the most fire‐prone mountain areas through pixel ...
Alice Baronetti +2 more
wiley +1 more source
A generative deep neural network as an alternative to co-kriging
In geosciences, kriging is leading spatial interpolation, and co-kriging is the most commonly used method for accomplishing spatial interpolation of a target variable by incorporating information from a secondary variable.
Herbert Rakotonirina +3 more
doaj +1 more source
Based on Open CASCADE and Ordinary Kriging interpolation algorithm, a software development framework adding geostatistical interpolation algorithm to CAD geometry operation core for three-dimensional hydrogeological modeling is designed.
LI Peng, JIN Dewu, CHENG Jianyuan, ZHAO Chunhu
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The study provides insights for post‐processing climate model output in complex terrain, useful for climate change impact models. We compared different bias adjustment and downscaling techniques from quantile delta mapping to simple lapse rates. We developed a new spatial downscaling method based on principal components analysis, which showed superior ...
Michael Matiu +4 more
wiley +1 more source
Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium [PDF]
Spatial interpolation of precipitation data is of great importance for hydrological modelling. Geostatistical methods (kriging) are widely applied in spatial interpolation from point measurement to continuous surfaces.
S. Ly, C. Charles, A. Degré
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Kriging: a method of interpolation for geographical information systems
Geographical information systems could be improved by adding procedures for geostatistical spatial analysis to existing facilities. Most traditional methods of interpolation are based on mathematical as distinct from stochastic models of spatial variation.
Oliver, M. A., Webster, R.
openaire +1 more source
ABSTRACT Establishing scientifically grounded soil erosion control targets and feasible vegetation restoration strategies is crucial for high quality development of the Chinese Loess Plateau which is severely affected by soil erosion. Currently, the commonly used tolerable soil loss (TSL) is inadequate for addressing the spatial heterogeneity in ...
Ye Wang +9 more
wiley +1 more source
An integrated experimental, numerical, and explainable machine learning framework for the material‐geometric co‐optimization and multi‐objective Pareto design of robust composite adhesive joints. ABSTRACT The reliability of composite adhesive joints is compromised by non‐linear dependencies between material properties and manufacturing uncertainties ...
Sajjad Karimi
wiley +1 more source

